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Anomaly detector

An AI service that helps you foresee problems before they occur

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Boost your business systems' reliability with early problem detection

Easily embed anomaly detection capabilities into your apps so that users can quickly identify problems. Through an API, Anomaly Detector ingests time-series data of all types and selects the best-fitting detection model for your data to ensure high accuracy. Customise the service to detect any level of anomaly and deploy it where you need it most – from the cloud to the intelligent edge with containers. Azure is the only major cloud provider that offers anomaly detection as an AI service.

Powerful inference engine looks at your time-series data set and automatically selects the right algorithm to maximise accuracy for your scenario

Automatic detection eliminates the need for labelled training data. Save time and stay focused on fixing problems as soon as they surface

Customisable settings let you fine-tune sensitivity to potential anomalies based on your business’s risk profile

Speed your time to insights

Fast-track your problem-solving with simple set-up in the Azure portal and real-time anomaly detection. All it takes is three lines of code.

Detect problems for virtually any scenario

There are many types of time-series data – and no one algorithm fits them all. Anomaly Detector looks at your time-series data set and automatically selects the best algorithm from the model gallery to ensure high accuracy for your specific scenario: business incidents, monitoring IoT device traffic, managing fraud, responding to changing markets and more.

Trusted by Microsoft Azure, Office, Windows and Bing

Monitor your product and service health, and deliver reliable customer experiences, using the same anomaly detection service that more than 200 Microsoft product teams rely on.

GA-Insights

"Anomaly Detector has been pivotal in supporting our customers, monitoring their business metrics 24 hours a day, 7 days a week. Already we've used the service to alert hundreds of businesses to changes in their data, ranging from e-commerce conversion rates to revenue alerts. Our customers get an enriched view of their analytics, giving them early opportunity to act on their data – an opportunity that they never had previously."

Patrick McCurley, Founder, GA-Insights
Read more

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Documentation and resources

Getting started

Read our documentation

Learn how it works

Watch this episode of the AI Show on Channel 9 for a guided walkthrough on setting up Anomaly Detector.

Get started in three steps

Create your Azure free account.

Sign in to the Azure portal.

Explore the documentation and quickstarts.

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Frequently asked questions about Anomaly Detector

  • See regional availability
  • Anomaly Detector provides a 99.9 per cent service-level agreement (SLA).
  • Anomaly Detector is comprised of simple REST APIs with a code-first experience. It's the core engine of Metrics Advisor that detects anomalies in time-series data. It's best applied for ad-hoc data analysis, and it can be run in containers. Metrics Advisor has additional time-series monitoring features, with pipeline APIs and a built-in user interface for managing the service. It's designed for live-streaming data and AI analytics, and it supports deploying in Azure.
  • It can vary depending on the level of accuracy and speed desired for your scenario. Read the best practices guide for more details.
  • Anomaly Detector is stateless.
  • Anomaly Detector doesn't store customer data.

Getting started